Unit 1 Introduction to DBMS

Unit 1
Introduction to DBMS
(Database Management Systems)
Application
program
DBMS
End-user
• PART I:
• Overview
• DB2
SQL
•
(The Relational Model)
•
(The Hierarchical Model)
•
(The Network Model)
• PART II:
(Database Design)
•
•
•
E-R Model
• PART III:
•
•
•
•
•
•
Wei-Pang Yang, Information Management, NDHU
(Access Methods)
(Database Recovery)
(Concurrency Control)
(Security and Integrity)
(Query Optimization)
(Distributed Database)
Unit 1 Introduction to DBMS
1-2
PART I:

DB2
SQL


:
SQL
DBMS
MySQL


(The Relational Model):


(tables)

(The Hierarchical Model)

(The
Network Model):



Wei-Pang Yang, Information Management, NDHU
1-3
Contents of PART I:

Unit 1 Introduction to DBMS

Unit 2 DB2 and SQL

Unit 3 The Relational Model

Unit 4 The Hierarchical Model

Unit 5 The Network Model
---------------------------------------------------
References:
1. C. J. Date, An Introduction to Database Systems, 8th edition, 2004.
2. J. D. Ullman, Principles of Database and Knowledge-Base, Vol.I, 1988.
3. Cited papers
Wei-Pang Yang, Information Management, NDHU
1-4
Outline of Unit 1
1.1 Information Systems
1.2 An Overview of a Database System
1.3 Why Database Systems?
1.4 An Architecture for a Database System
1.5 Data Models
1.6 Establish/Design a Database System
1.7 Extending Database Technology
1.8 Discussion and Remarks
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-5
1.1 Information Systems
1-6
Stages of Information System
 Stage 0: Manual Information System
• Records
• Files
• Index Cards
 Stage 1: Sequential Information Systems
• Tapes
• Files
• slow, non-interactive, redundancy,... .
 Stage 2: File Based Information Systems
• Disk (direct access)
• application program has its own file
• data redundancy
data dependence
 Stage 3: DBMS based Information Systems
• Generalized data management software
• Transaction processing
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-7
Stage 0: Manual Information System
 圖書館index card
 醫院診所病歷卡
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-8
Stage 1: Sequential Information Systems
 The old computer data center at NASA's Jet Propulsion Laboratory ...
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-9
Stage 2: File Based Information Systems
 Conventional Data Processing techniques:
Enterprise:
Application
System A
Application
System B
Application
Program A
Application
Program B
File System A
Customer
File System B
Invoice
File System N
Inventory
…
Application
System N
Wei-Pang Yang, Information Management, NDHU
Application
Program N
Unit 1 Introduction to DBMS
1-10
Stage 2: File Based Information Systems (cont.)
Customer
Invoice
Customer No.
Customer Name
Part No.
Quantities
Unit Price
Customer No.
Customer Name
Customer Addr.
Social Security ID
Inventory
Parts
Part No.
Part Description
Unit Price
Supplier
Quantities Remain
Quantities Ordered
Wei-Pang Yang, Information Management, NDHU
Part No.
Part Description
Supplier
Quantities Ordered
Customer Name
Unit Price
Unit 1 Introduction to DBMS
1-11
Stage 2: File Based Information Systems (cont.)
 Advantages: File Systems are simple in design
 Disadvantages:
• Data Redundancy:
• a waste of memory
• high update cost
• data inconsistency
• Data Incompleteness
• Data Insecure
• Application Program Unstable
• file system (application program)
data changed
data structure changed
program changed
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-12
Solution: Database Systems!
 Objectives of Database Systems:
•
•
•
•
•
eliminate unnecessary data redundancy
maintain data integrity
control security
achieve data independence
add program stability
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-13
Stage 3: DBMS based Information Systems:
Basic Approach - Integration
 (1) Integration of Information
• Description of the integrated view of data is the "Conceptual
Schema" of the database
DBMS
Application
program
Wei-Pang Yang, Information Management, NDHU
End-user
Unit 1 Introduction to DBMS
1-14
Stage 3: DBMS based Information Systems:
Basic Approach – Simple views and High level language
 (2) Provide simple views (External Schema) and high level language
(e.g. SQL) for users to manipulate (handle) data
• High level language: e.g. SQL (Structured Query Language)
<e.g.>:
SELECT SNAME
FROM S
WHERE S#= 'S4';
• Description of user's view of data is the "external schema" or
"subschema" or "view".
• High-level languages (Query Language): SQL
(1) Data Definition Language:
define format
(2) Data Manipulation Language:
retrieve, insert, delete, update
• Emphasize: EASE OF USE !!
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
S S# SNAME STATUS
S1
S2
S3
S4
S5
Smith
Jones
Blake
Clark
Adams
20
10
30
20
30
CITY
London
Paris
Paris
London
Athens
1-15
Stage 3: DBMS based Information Systems:
Basic Approach - Storage/Access Method
 (3) Efficient Storage/Access Techniques:
• implemented once rather than duplicated in all application
programs.
User: query in SQL
Language Processor
DBMS
Access Methods Calls
Access Method
(B+ tree, Dynamic Hashing)
I/O calls
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-16
Stage 3: DBMS based Information Systems:
Basic Approach - Transaction Management
 (4) Provide Transaction Management:
• Concurrency Control
• Recovery
• Security
• .
:
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-17
Example: A Simple Query Processing
Query in SQL：
SELECT CUSTOMER. NAME
FROM CUSTOMER, INVOICE
WHERE REGION = 'N.Y.' AND
AMOUNT > 10000 AND
CUTOMER.C#=INVOICE.C
DBMS
Language Processor
Internal Form :
( (S
SP)
Operator :
SCAN C using region index, create C
SCAN I using amount index, create I
SORT C?and I?on C#
JOIN C?and I?on C#
EXTRACT name field
Optimizer
Language
Processor
Operator Processor
Calls to Access Method：
OPEN SCAN on C with region index
GET next tuple
.
.
.
Calls to file system：
GET10th to 25th bytes from
block #6 of file #5
Access Method
e.g.B-tree; Index;
Hashing
File System
Access
Method
database
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-18
1.2 An Overview of a
Database System
1-19
Database System: Introduction

Database Management System (DBMS)
 Contains a large bodies of information
 Collection of interrelated data (database)
 Set of programs to access the data

Goal of a DBMS:
 provides a way to store and retrieve database information
• convenient and
• efficient
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-20
Database System: Functions of DBMS

Functions of DBMS: Management of Data (MOD)
 Defining structure for storage data
 Proving mechanisms for manipulation of data
 Ensure safety of data (system crashes, unauthorized access,
misused, …)
 Concurrent control in multi-user environment

Computer Scientists:
 Developed a lot of concepts and techniques for MOD
 Concepts and techniques form the focus of this course
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-21
Database System: Data Integrated and Shared
DBMS
Application
program
End-user
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-22
Database System: Major components




Data: integrated and shared
Hardware: disk, CPU, Main Memory, ...
Software: DBMS
Users:
1. Application programmers
2. End users
3. Database administrator (DBA)
•
•
•
•
•
•
•
Defining external schema
Defining conceptual schema
Defining internal schema
Liaison with users
Defining security and integrity checks
Defining backup and recovery procedures
Monitoring performance and changing requirements
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-23
An Example: Supplier-and-Parts Database
<e.g.> Supplier-and-Parts Database
S
S#
S1
S2
S3
S4
S5
SNAME STATUS CITY
Smith
20
London
Jones
10
Paris
Blake
30
Paris
Clark
20
London
Adams
30
Athens
P
P#
P1
P2
P3
P4
P5
P6
PNAME
Nut
Bolt
Screw
Screw
Cam
Cog
COLOR
Red
Green
Blue
Red
Blue
Red
WEIGHT
12
17
17
14
12
19
CITY
London
Paris
Rome
London
Paris
London
 Query:
• 列出住在London 的供應商名字?
• Get the total number of suppliers.
• Total QTY of SP?
• Get supplier names for suppliers who supply part P2?
• Get supplier names for suppliers who supply red color
•
SP S#
S1
S1
S1
S1
S1
S1
S2
S2
S3
S4
S4
S4
P# QTY
P1 300
P2 200
P3 400
P4 200
P5 100
P6 100
P1 300
P2 400
P2 200
P2 200
P4 300
P5 400
parts?
…
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-24
1.3 Why Database System?
1-25
Why Database System?
 Answer: Easy to retrieve information!
 Word, Excel vs. Access
 Query:
• 列出住在London 的供
<e.g.> Supplier-and-Parts Database
S
P
S#
S1
S2
S3
S4
S5
P#
P1
P2
P3
P4
P5
P6
SP S#
SNAME STATUS CITY
Smith
20
London
Jones
10
Paris
Blake
30
Paris
Clark
20
London
Adams
30
Athens
PNAME
Nut
Bolt
Screw
Screw
Cam
Cog
COLOR
Red
Green
Blue
Red
Blue
Red
WEIGHT
12
17
17
14
12
19
Wei-Pang Yang, Information Management, NDHU
CITY
London
Paris
Rome
London
Paris
London
S1
S1
S1
S1
S1
S1
S2
S2
S3
S4
S4
S4
P# QTY
P1 300
P2 200
P3 400
P4 200
P5 100
P6 100
P1 300
P2 400
P2 200
P2 200
P4 300
P5 400
Unit 1 Introduction to DBMS
•
•
•
•
•
應商名字?
Get the total number of
suppliers.
Total QTY of SP?
Get supplier names for
suppliers who supply
part P2?
Get supplier names for
suppliers who supply
red color parts?
…
1-26
Retrieval Operations
 Easy to retrieve information!
P
 Get color and city for "non-Paris" parts
with weight greater than ten.
SELECT P.COLOR, P.CITY
FROM P
WHERE P.CITY < > 'Paris'
AND
P.WEIGHT > 10;
 DISTINCT
SELECT DISTINCT P.COLOR, P.CITY
FROM P
WHERE P.CITY < > 'Paris'
AND
P.WEIGHT > 10;
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
P#
P1
P2
P3
P4
P5
P6
PNAME
Nut
Bolt
Screw
Screw
Cam
Cog
COLOR
Red
Green
Blue
Red
Blue
Red
WEIGHT
12
17
17
14
12
19
COLOR
CITY
Red
Blue
Red
Red
London
Rome
London
London
COLOR
CITY
Red
Blue
London
Rome
CITY
London
Paris
Rome
London
Paris
London
1-27
Retrieval Operations (cont.)
 For all parts, get the part number and the weight
of that part in grams.
SELECT P.P#, P.WEIGHT * 454 AS GMWT
FROM P ;
 Get the maximum and minimum quantity for part P2.
SELECT MAX (SP.QTY) AS MAXQ,
MIN (SP.QTY) AS MINQ
FROM SP
WHERE SP. P# = 'P2';
 For each part supplied, get the part number and the
total shipment quantity.
SELECT SP.P#, SUM (SP.QTY) AS TOTQTY
FROM SP
GROUP BY SP.P#;
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
SP S#
S1
S1
S1
S1
S1
S1
S2
S2
S3
S4
S4
S4
P# QTY
P1 300
P2 200
P3 400
P4 200
P5 100
P6 100
P1 300
P2 400
P2 200
P2 200
P4 300
P5 400
1-28
Retrieval Operations (cont.)
 Get part numbers for all parts supplied
by more than one supplier.
SELECT
FROM
GROUP
HAVING
SP.P#
SP
BY SP.P#
COUNT ( SP. S# ) > 1;
<e.g.> Supplier-and-Parts Database
S S# SNAME STATUS
S1
S2
S3
S4
S5
Smith
Jones
Blake
Clark
Adams
20
10
30
20
30
P P# PNAME COLOR
 Get supplier names for suppliers
who supply part P2.
SELECT DISTINCT S.SNAME
FROM S
WHERE S. S# IN
( SELECT SP. S#
FROM SP
WHERE SP.P# = 'P2‘);
Wei-Pang Yang, Information Management, NDHU
P1
P2
P3
P4
P5
P6
Nut
Bolt
Screw
Screw
Cam
Cog
Unit 1 Introduction to DBMS
Red
Green
Blue
Red
Blue
Red
SP S#
CITY
London
Paris
Paris
London
Athens
WEIGHT
12
17
17
14
12
19
CITY
London
Paris
Rome
London
Paris
London
S1
S1
S1
S1
S1
S1
S2
S2
S3
S4
S4
S4
P# QTY
P1 300
P2 200
P3 400
P4 200
P5 100
P6 100
P1 300
P2 400
P2 200
P2 200
P4 300
P5 400
1-29
Why Database ?

Easy to retrieve information!

Redundancy can be reduced

Inconsistency can be avoided

The data can be shared

Standards can be enforced

Security restrictions can be applied

Integrity can be maintained

Provision of data independence

Database Growth Fast!
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
objective !
1-30
Why Database: Redundancy can be reduced
Customer
Invoice
Customer No.
Customer Name
Part No.
Quantities
Unit Price
Customer No.
Customer Name
Customer Addr.
Social Security ID
Inventory
Parts
Part No.
Part Description
Unit Price
Supplier
Quantities Remain
Quantities Ordered
Wei-Pang Yang, Information Management, NDHU
Part No.
Part Description
Supplier
Quantities Ordered
Customer Name
Unit Price
Unit 1 Introduction to DBMS
1-31
Why Database: The data can be shared
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-32
Why Database: Security restrictions can be applied
user
S S# SNAME STATUS
DBMS
File Manager
O.S.
S1
S2
S3
S4
S5
Smith
Jones
Blake
Clark
Adams
20
10
30
20
30
CITY
London
Paris
Paris
London
Athens
DB
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-33
Why Database: Integrity can be maintained

Consider Supplier-and-Parts Database,
Assume the STATUS should always be positive value.

CREATE INTEGRITY RULE
CREATE INTEGRITY RULE R1
ON INSERT S.STATUS,
UPDATE S.STATUS;
CHECK FORALL S ( S.STATUS > 0 )
ELSE REJECT;
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-34
Why Database: Provision of data independence
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-35
Data Independence


Application Program
 Data Structure
Immunity of application to change in
storage structure and access strategy.
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-36
Data Dependence vs. Data Independence

Data Dependent
e.g.
S S# SNAME STATUS
SELECT CITY
FROM S
WHERE ITEM = 'X';
• Linked list:
S
Top
S1
S2
S3
S4
S5
TOP
s1
Smith
Jones
Blake
Clark
Adams
sn
s2
if item = TOP
20
10
30
20
30
CITY
London
Paris
Paris
London
Athens
. item then .........
• Tree:
.
if item < root.data then root := root .left ..........
• Array:
if A[I] = item then ............
• Storage structure changed  program changed
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-37
1.4 An Architecture for a
Database System
1-38
Architecture for a Database System: view 1
Query
DBMS
Language Processor
Optimizer
Operation Processor
Access Method
File Manager
Database
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-39
Querying and Data Storage

Components of Database
System
 Query Processor
unnecessarily with the physical details
 Storage Manager
Require a large amount of space
Can not store in main memory
Disk speed is slower
Minimize the need to move data
between disk and main memory
Goal of a DBMS: provides a way to store and retrieve
data that is both convenient and efficient.
Wei-Pang Yang, Information Management, NDHU
DBMS
Language Processor
• Helps to simplify to access data
• High-level view
• Users are not be burdened
•
•
•
•
Query
Unit 1 Introduction to DBMS
Optimizer
Query Processor
Operation Processor
Access Method
Storage Manager
File Manager
Database
1-40
Architecture for a Database System: view 2
User A1
Host
Language
+ DSL
User A2
Host
Language
+ DSL
User B1
Host
Language
+ DSL
User B2
User B3
Host
Host
C, C++
Language
Language
+ DSL
+ DSL
DSL (Data Sub. Language)
e.g. SQL
1
2
External View
@
#
&
3
External
schema
A
External/conceptual
mapping A
Conceptual
schema
<
External View
B
External/conceptual
mapping B
Conceptual
View
Database
management
system
Dictionary
(DBMS) e.g. system
catalog
Conceptual/internal
mapping
DBA
(Build and
maintain
schemas
and
mappings)
External
schema
B
Storage
structure
definition
(Internal
schema)
Wei-Pang Yang, Information Management, NDHU
1
Stored database (Internal View)
Unit 1 Introduction to DBMS
2
3
#
...
100
&
@
1-41
Overall
System
Structure
low-level data stored
database
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-42
Data Dictionary in DBMS
SELECT S.SNAME
FROM S
WHERE S. S.CITY = “London”;
Request
Application Program
9
Working Area
return
1
8
7
6
2
DBMS
System Buffer
Data
Dictionary
3
5
OS
Secondary Memory
CREATE TABLE S
(S# CHAR (5) NOT NULL,
SNAME CHAR (20),
STATUS SMALLINT,
CITY
CHAR (15));
4
Database
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-43
Architecture for a Database System: view 3
Scan figure
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-44
Architecture for a Database System: view 4
Scan figure
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-45
1.5 Data Models
1-46
Data Models:

Hierarchical Data Model

Network Data Model

Relational Data Model

Object-Oriented Data Model

…
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-47
Hierarchical Data Model
“Data Pile”
course# name prereq.1 prereq.2 off.1 92/9/6 EE108
course# name
T003 Yang
prereq
off. 1 off. 2
Course
Course#
92/9/6
prereq.1
Title
Offering
PreReq
Prereq.#
Off.#
Date
Location
Teacher
Emp.#
prereq.2
Student
Name
Wei-Pang Yang, Information Management, NDHU
Emp.#
Name
Unit 1 Introduction to DBMS
Grade
1-48
Network Data Model
S
S#
P
SNAME
STATUS
CITY
P-SP
S-SP
SP
Wei-Pang Yang, Information Management, NDHU
(Links)
QTY
Unit 1 Introduction to DBMS
1-49
The Network Model: Sample Values
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-50
Relational Data Model: [Codd70]

System R

DB2

INGRES

Oracle

Informix

ACCESS

mySQL

…
<e.g.> Supplier-and-Parts Database
S
P
Wei-Pang Yang, Information Management, NDHU
S#
S1
S2
S3
S4
S5
P#
P1
P2
P3
P4
P5
P6
SP S#
SNAME STATUS CITY
Smith
20
London
Jones
10
Paris
Blake
30
Paris
Clark
20
London
Adams
30
Athens
PNAME
Nut
Bolt
Screw
Screw
Cam
Cog
COLOR
Red
Green
Blue
Red
Blue
Red
WEIGHT
12
17
17
14
12
19
CITY
London
Paris
Rome
London
Paris
London
Unit 1 Introduction to DBMS
S1
S1
S1
S1
S1
S1
S2
S2
S3
S4
S4
S4
P# QTY
P1 300
P2 200
P3 400
P4 200
P5 100
P6 100
P1 300
P2 400
P2 200
P2 200
P4 300
P5 400
1-51
Object-Oriented Data Model
Person
name
Employee
dept.
owns
photo
Vehicle
video
salary
face-image
name
model
manu.
car-video
Company
hair-color
aggregation
inheritance
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
name
location
1-52
Database Technology Trends
1960s to
Mid-1970s
1970s to
Mid-1980s
Late
1980s
Future
Merging data models,
knowledge representation,
and programming
languages
Network
Hierarchical
Relational
Semantic
Object-oriented
Logic
Database
Hardware
Mainframes
Mainframes
Minis
PCs
Faster PCs
Workstations
Database machines
User
Interface
None
Forms
Query
languages
- SQL, QUEL
Graphics
Menus
Query-by-forms
Natural language
Speech input
Program
Interface
Procedural
4GL
Logic programming
Integrated database
and programming
language
Presentation
and display
processing
Reports
Processing
data
Business graphics
Image output
Knowledge
processing
Generalized display
managers
Distributed knowledge
processing
Data Model
Wei-Pang Yang, Information Management, NDHU
Embedded
query
language
Report
generators
Information
and transaction
processing
Unit 1 Introduction to DBMS
Parallel processing
Optical memories
1-53
1.6 Establish/Design a Database
System
1-54
PART II:
(Database Design)
:



DBMS
-
(Entity-Relationship Model,
E-R Model

-
E-R Model)
,
,
-
(E-R Diagram)
:


-

(Tables)
(tables)
(Normalization)
:



Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-55
Database Design



Database Design - The process of designing the general structure of
the database:
 Logical Design
 Physical Design
Logical Design – Deciding on the database schema.
 To find a “good” collection of relation schemas.
 Business decision – What attributes should we record in the
database?
 Computer Science decision – What relation schemas should we
have and how should the attributes be distributed among the
various relation schemas?
Physical Design – Deciding on the physical layout of the database
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-56
Design Process




Phase I
 Specification of user requirement (with domain experts)
Phase II
 Conceptual design (unit 6)
 Choose a data model
 Design tables
 Normalization (unit 7)
Phase III
 Specification of functional requirements
Phase IV
 User interface design (unit 8)
 Implementation
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-57
Contents of PART II:

Unit 6 Database Design and the E-R Model

Unit 7 Normalization (

Unit 8 User Interfaces (

Unit 9
:

Unit 10
:
)
)
---------------------------------------------------
References:
1. C. J. Date, An Introduction to Database Systems, 8th edition, 2004.
2. A. Silberschatz, etc., Database System Concepts, 5th edition, McGraw Hill, 2006
3. J. D. Ullman, Principles of Database and Knowledge-Base, vol. I, 1988.
4. Cited papers
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-58
How to Establish a Database System?
 STEP 1: Database Design
• Logical database vs. physical database
• Collect data of applications
• Analyze data to eliminate redundancy (using normalization
theory and E-R Model…)
• Describe data in the specific Data Model the DBMS use.
• Describe each schema in DDL


STEP 2: Implementation
• schema
• data
SETP3:Evaluation and Correction (by DBA)
• tuning
• statistical analysis
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-59
Components of a Database System




DDL (Data Definition Language)
DML (Data Manipulation Language)
Data Dictionary
Utility Routines
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-60
Components of a Database System: DDL

DDL (Data Definition Language)
CREATE TABLE S
(S#
CHAR(5)
SNAME CHAR(20)
STATUS SMALLINT
CITY
CHAR(15)
PRIMARY KEY (S#));
S S# SNAME STATUS
NOT NULL,
NOT NULL,
NOT NULL,
NOT NULL,
S1
S2
S3
S4
S5
Smith
Jones
Blake
Clark
Adams
20
10
30
20
30
CITY
London
Paris
Paris
London
Athens
ALTER TABLE S ADD DISCOUNT SMALLINT;
DROP TABLE S
CREATE INDEX XSC ON S (CITY);
CREATE UNIQUE INDEX X ON S (S#);
DROP INDEX XSC;
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-61
Components of a Database System: DML

DML (Data Manipulation Language)
SELECT S#, STATUS
FROM S
WHERE CITY=‘PARIS’
S S# SNAME STATUS
UPDATE S
SET STATUS= 2*STATUS
WHERE CITY=‘LONDON’;
S1
S2
S3
S4
S5
Smith
Jones
Blake
Clark
Adams
20
10
30
20
30
CITY
London
Paris
Paris
London
Athens
DELETE
FROM S
WHERE S#= ‘S5’
INSERT
INTO S (S#, SNAME, STATUS, CITY)
VALUES(‘S6’,’TSENG’,100,’HSINCHU’)
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-62
Components of a Database System: Data Dictionary
SELECT S.SNAME
FROM S
WHERE S. S.CITY = “London”;
Request
Application Program
9
Working Area
return
1
8
7
6
2
DBMS
System Buffer
Data
Dictionary
3
5
OS
Secondary Memory
CREATE TABLE S
(S# CHAR (5) NOT NULL,
SNAME CHAR (20),
STATUS SMALLINT,
CITY
CHAR (15));
4
Database
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-63
Components of a Database System: Utility Routines
•
•
•
•
•
•
•
Wei-Pang Yang, Information Management, NDHU
Loading Routines
Reorganization Routines
Journalizing routines (log)
Database Dump Routines
Recovery Routines
Statistical Analysis Routines
…
Unit 1 Introduction to DBMS
1-64
1.7 Extending Database Technology
1-65
Extending Database Technology
• Expert Database Systems
Knowledge-base Management Systems
AI + DB
• Image Database Systems
Intelligent Pictorial Databases
Image + DB
• Object-Oriented Database Systems
OO Programming + DB
• Multimedia Database
Text + Voice + Image + …..+ DB
• Multidatabases
Integrate heterogeneous /homogeneous
database systems
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-66
Extending Database Technology (cont.)
• Real-time Database Systems
Real-time Tech. + DB
• Video Database Systems
MPEG + DB
• Digital Library
Library + DB
• Bioinformatics Database Systems
Biological + DB
• …
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-67
Distributed Databases
Database

Distributed System
Distributed database is a database that is not stored
in its entirety at a single physical location, but
rather is spread across a network of computer.
< e.g.>
Hsinchu
computers
Taipei
Kaoshiung
communication
links
Taichung
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-68
Distributed Databases (cont.)

Advantages:
 efficiency of local processing
 data sharing

Disadvantages:
 communication overhead
 implementation difficulties

Reference:
S. Ceri and G. Pelagatti
"Distributed Databases: principles and systems"
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-69
Multi-Database/Heterogeneous Database
Multidatabase
IMS
Hierarchical
Model
INGRES
.. .
Relational
Model
• semantic inconsistency
ORION
ObjectOriented
Model
• data incompleteness
• global schema
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-70
DB + AI
Query
Database
AI
DBMS
Language Processor
Query Optimizer
Knowledge
Base
Operator Processor
Access Method
File Manager
Logical
DB design
Distributed
DB design
Knowledge
Base
Knowledge
Base
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-71
KBMS
Database
Logic
 A Combined Model :
Logic Programming + Relational DB
 Three layers :
User Program
Knowledge
management
program
IDB
relational
interface
Query :
? :- ancestor (taro, Y)
? :- grandfather (?, c)
IDB:
ancestor(X,Y):- parent(X,Y)
ancestor(X,Y) :- parent(X,Z), ancestor(Z,Y)
parent(X,Y):-edb(father(X,Y))
parent(X,Y):-edb(mother(X,Y))
grandfather(X,Z):- father(X,Y) ^ father(Y,Z)
father
Relational DB
management
program EDB
Wei-Pang Yang, Information Management, NDHU
EDB:
Unit 1 Introduction to DBMS
mother
father son
A
B
X
Y
.
. .
B
.
C
1-72
Database Object-Oriented
OODB

A typical Document : MEMO [Woelk86, SIGMOD]
MCC
To: W. Kim
From: D. Woolk
Date: September 18, 1992
Subject: Workstations
can be heard
In the computer center of National Chiao-Tung University, there are
a lot of workstations. There are HP RS serials, SUNs, Apollo, and so
on. The students in NCTU learn to use workstation since they are freshmen. The configuration of the workstations follows:
Workstation
.
speaker
voice message
associated
.
.
Workstation
}
text
}
}
graphics
Database
Server
In the course introduction to Computer Science? students do their
homework's on workstations.
image
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-73
Use of a Database Management System in
Design and Application
Design
Release
Control
Detailed
Design
Database Manufacturing
Fabrication
Assembly
Info
Analysis
Models
Preliminarydesign
INTERFACE
DBMS
Database Management
System
Graphic Interface
Test /
Inspection
Language Interface
APPLICATION
Design
Analysis
Design
Verification
Manufacturing
Planning
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
Evaluation
Production
Control
Synthesis
Release
Project
Management
1-74
Fuzzy Database
Database
Fuzzy Set Theory
 Fuzzy Query
<e.g.>
SELECT
FROM
WHERE
STUDENT.NAME
STUDENT
SEX = M
AND HEIGH = TALLER
AND WEIGH = SLIMMER
STUDENT:
NAME SEX HEIGHT WEIGHT IQ
Mary
Linda
.
.
.
F
F
.
.
.
<e.g.>
Wei-Pang Yang, Information Management, NDHU
158
165
.
.
.
55
55
.
.
.
SELECT
FROM
WHERE
High
Medium
.
.
.
STUDENT.NAME
STUDENT
IQ >= 130
Unit 1 Introduction to DBMS
1-75
More?
AI
DB
1993
DB
?
?
2001
VR
DB
DB
1997
1999
DB
?
1995
2003
Wei-Pang Yang, Information Management, NDHU
??? SARS
?
DB
Mobile/video
?
?
2004
?
DNA/BioInfo
.
DB
WWW
DB
911/ Anthrax
Security
20xx
Unit 1 Introduction to DBMS
???
?
1-76
1.8 Discussion and Remarks
1-77
Discussion and Remarks
 Advantages of database systems
•
•
•
•
•
•
•
•
Easy to retrieve information!
Redundancy can be reduced
Inconsistency can be avoid
Data can be shared
Standards can be enforced
Security restrictions can be applied
Integrity can be maintained
Provision of data independence
 Disadvantages of database systems
• Database design and control are a complicated matter.
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-78
Contents of Part I:

Unit 1 Introduction to DBMS

Unit 2 DB2 and SQL

Unit 3 The Relational Model

Unit 4 The Hierarchical Model

Unit 5 The Network Model
---------------------------------------------------
References:
1. C. J. Date, An Introduction to Database Systems, 8th edition, 2004.
2. J. D. Ullman, Principles of Database and Knowledge-Base, Vol.I, 1988.
3. Cited papers
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-79
Contents of PART II:

Unit 6 Database Design and the E-R Model

Unit 7 Normalization (

Unit 8 User Interfaces (

Unit 9
:

Unit 10
:
)
)
---------------------------------------------------
References:
1. C. J. Date, An Introduction to Database Systems, 8th edition, 2004.
2. A. Silberschatz, etc., Database System Concepts, 5th edition, McGraw Hill, 2006
3. J. D. Ullman, Principles of Database and Knowledge-Base, vol. I, 1988.
4. Cited papers
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-80
Contents of PART III:

Unit 11 Access Methods

Unit 12 Database Recovery

Unit 13 Concurrency Control

Unit 14 Security and Integrity

Unit 15 Query Optimization
Unit 16 Distributed Database
 Unit 17 More on E-R Model
 Unit 18 More on Normalization
 Unit 19 More on User Interfaces
 Unit 20 More on X?
---------------------------------------------------

References:
1. C. J. Date, An Introduction to Database Systems, 8th edition, 2004.
2. J. D. Ullman, Principles of Database and Knowledge-Base, vol. I, 1988.
3. Cited papers
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-81
Contents of PART VI:










Unit 21
Unit 22
Unit 23
Unit 24
Unit 25
Unit 26
Unit 27
Unit 28
Unit 29
Unit 30
Object-Oriented Database
Logic-Based Database
Image Database
Multimedia Database
Real-Time Database
Parallel Database
Temporal Database
Active Database
Bioinformatics Database
….
---------------------------------------------------
References:
1. Cited papers
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-82
Study and Research on Databases
Level 5: Doing Research
Level 4: Survey Papers: Special Topics (Unit 21 Advanced
DBMS
)
Level 3: DBMS: Advanced Topics
(Unit 11 – 20)
Date, Vol. 1, 2
Ullman
Level 2: DBMS: Fundamentals
(Unit 1 – 10)
Date, Vol. 1
Using mySQL
Level 1: Using DBMS
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-83
end of unit 1
Wei-Pang Yang, Information Management, NDHU
Unit 1 Introduction to DBMS
1-84

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